Search alternatives:
codon optimization » dog optimization (Expand Search), motor optimization (Expand Search), igdt optimization (Expand Search)
binary data » binary rat (Expand Search)
i detection » _ detection (Expand Search), ion detection (Expand Search), fire detection (Expand Search)
data i » data _ (Expand Search)
stop » step (Expand Search), top (Expand Search)
codon optimization » dog optimization (Expand Search), motor optimization (Expand Search), igdt optimization (Expand Search)
binary data » binary rat (Expand Search)
i detection » _ detection (Expand Search), ion detection (Expand Search), fire detection (Expand Search)
data i » data _ (Expand Search)
stop » step (Expand Search), top (Expand Search)
-
1
Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
Published 2020“…The second major contribution is the design and construction of a Logistic Regression (LR) ML binary classification model with an accuracy of 87% and F1-score of 89%. …”
Get full text
-
2
VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems
Published 2019“…The Nonnested Generalized Exemplars (NNGE) algorithm is one of the most accurate classification techniques that can work with such data of CPPS. …”